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Universal Spike-Train Processor for a High-Speed Simulation of Pulsed Para-neural Networks

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3316))

Abstract

We propose a Universal Spiketrain Processor (USP) – a computing device for high-speed execution of Pulsed Para-Neural Networks (PPNN). PPNN is a graph consisting of processing nodes and directed edges, called axons. We provide a description of USP architecture, a USP-specific language of PPNN coding, and methods of conversion of the already existing PPNN code into a USP code. We also compare the USP’s performance with the already existing cellular-automata-based tools for PPNN simulation.

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References

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© 2004 Springer-Verlag Berlin Heidelberg

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Joachimczak, M., Grzyb, B., Jelinski, D. (2004). Universal Spike-Train Processor for a High-Speed Simulation of Pulsed Para-neural Networks. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds) Neural Information Processing. ICONIP 2004. Lecture Notes in Computer Science, vol 3316. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30499-9_63

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  • DOI: https://doi.org/10.1007/978-3-540-30499-9_63

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23931-4

  • Online ISBN: 978-3-540-30499-9

  • eBook Packages: Springer Book Archive

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